Skip to main content
SpringerLink
Log in

MUNOLD: Landslide Monitoring Using a Spatial Sensor Network

  • Conference paper
Mechanical Engineering and Technology

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 125))

Abstract

MUNOLD is a novel landslide monitoring system composed of a set of spatial sensors. It is designed to be an early warning system which enables real-time monitoring of remote landslide areas. As its first version of implementation, 12 sensors were employed to collect geomorphologic, geotechnical and geophysical features in a down-scaled landslide simulation test site on the campus of Tongji University. All sensed data are collected and transferred to a database server through wireless communication. The whole system is expected to be further developed and applied in landslide monitoring in western China.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lu, P., Stumpf, A., Kerle, N., Casagli, N.: Object-oriented change detection for landslide rapid mapping. IEEE Geoscience and Remote Sensing Letters 8, 701–705 (2011)

    Article  Google Scholar 

  2. Lu, P., Casagli, N., Catani, F., Tofani, V.: Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for detection of extremely slow moving landslides. International Journal of Remote Sensing (in press), doi:10.1080/01431161.2010.536185

    Google Scholar 

  3. Verdone, R., Dardari, D., Mazzini, G., Conti, A.: Wireless and Actuator Networks. Elsevier, London (2008)

    Google Scholar 

  4. Li, R., The CSISSD research team: Advanced Spatial Sensor Network Systems: Review, Status, and Applications. In: Proceedings of the 2011 International Symposium on Image and Data Fusion, Tengchong, Yunnan, China, August 9-11 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Spatial Information Science and Sustainable Development, Tongji University, Shanghai, China

    Ping Lu, Hangbin Wu, Gang Qiao, Weiyue Li, Xiaohua Tong & Rongxing Li

  2. Department of Surveying and Geoinformatics, Tongji University, Shanghai, China

    Hangbin Wu, Gang Qiao, Weiyue Li & Xiaohua Tong

  3. Mapping and GIS Lab, The Ohio State University, Columbus, Ohio, USA

    Rongxing Li

Authors
  1. Ping Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hangbin Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gang Qiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Weiyue Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaohua Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rongxing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Tianbiao Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Lu, P., Wu, H., Qiao, G., Li, W., Tong, X., Li, R. (2012). MUNOLD: Landslide Monitoring Using a Spatial Sensor Network. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27329-2_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27328-5

  • Online ISBN: 978-3-642-27329-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation